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Following a change to our organizational structure effective April 1, 2026, this division has been renamed from the "Database Center for Life Science, Joint Support-Center for Data Science Research" to the "Database Division for Life Science (DBCLS), BioData Science Initiative (BSI), National Institute of Genetics (NIG)". Where the former name still appears in the guidelines, please read it as the new name.

Research ID

hum0335-v1Release info

Latest

Research title

Research on new diagnosis and clinical picture of lymphoproliferative diseases by combining genetic analysis and immunological traits

Research overview

Aims
Diagnosis of lymphoproliferative diseases, except for typical cases, is often pathologically difficult, and diagnosis has long been based on chromosome analysis, immunological traits, and genetic abnormalities. Recent advances in the comprehensive analysis of genetic abnormalities and immunological studies have led to a number of reports of new abnormalities and features that can lead to diagnosis, but diagnosis in clinical practice has not kept pace with these changes. In this study, we compared the clinical picture, including prognosis, of the current pathological diagnosis with that of a new diagnosis based on comprehensive analysis of genetic mutations and immunological traits that have not yet been incorporated into conventional clinical practice.
Methods
We created primers covering the coding regions of ARID1A, NOTCH2, CXCR4, MYD88, PRDM1, CD274, PDCD1LG2, RAG2, KMT2D, MYBBP1A, TP53, and CD79B and performed targeted sequencing using the NextSeq 500 next-generation sequencer. After annotation based on GRCh37/hg19, mutations that met the following criteria were filtered out: Read Depth < 500, Alt Variant Freq < 5% (< 1% on MYD88 L265P), global frequency > 1% or East Asian pop frequency > 1% based on 1000 Genomes Project, synonymous mutations, inflame mutations, and missense mutations scored "tolerated" by SIFT or "benign" by PolyPhen.
Participants/materials
DNAs extracted from specimens from 10 cases of Waldenström macroglobulinemia and 10 cases of non IgM-type lymphoplasmacytic lymphoma (LPL)
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
DRA014819NGS (Target Capture)
  • Targeted DNA sequencing
Unrestricted-access2022-09-13

Data provider

Principal investigator
Akihiko Yokohama
Affiliation
Division of Blood Transfusion Service, Gunma University

Research projects

NameURL
"Waldenström macroglobulinemia and non-IgM-type lymphoplasmacytic lymphoma are genetically similar"
N/A

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (C)
Amino acid transporter in malignant lymphoma; its analysis and clinical application
  • 16K10342

Related publications

No related publications.